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Titlebook: Uncertainty in Facility Location Problems; H. A. Eiselt,Vladimir Marianov Book 2023 The Editor(s) (if applicable) and The Author(s), under

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發(fā)表于 2025-3-28 14:56:30 | 只看該作者
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International Series in Operations Research & Management Sciencehttp://image.papertrans.cn/u/image/941142.jpg
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發(fā)表于 2025-3-29 11:37:53 | 只看該作者
https://doi.org/10.1007/978-3-031-32338-6Location analysis; Uncertainty; Robustness; Probabilistic models; Stochastic problems; Design of supply c
47#
發(fā)表于 2025-3-29 18:36:22 | 只看該作者
Hub Location Models Under Uncertaintyptimization models to formulate different sources of uncertainty including demand and costs and confer when each approach is best suited for use. We further describe and discuss hybrid modeling approaches and other extensions. We also review the common solution methods that are used to solve hub location models under uncertainty.
48#
發(fā)表于 2025-3-29 20:26:08 | 只看該作者
Humanitarian Logistics Under Uncertainty: Planning for Sheltering and Evacuationapacity of the edges in the underlying network. Congestion issues emerge in this context that are also considered. Different paradigms for capturing uncertainty are considered for illustrative purposes, namely, robust optimization, chance-constrained programming, and stochastic programming.
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發(fā)表于 2025-3-30 03:02:06 | 只看該作者
Equity in Stochastic Healthcare Facility Locationations. Our primary focus is on exploring various ways to model uncertainty, equity, and facility location, including modeling aspects (e.g., tractability and accuracy) and outcomes (e.g., equity/fairness/access performance metrics vs. traditional metrics like cost and service levels).
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發(fā)表于 2025-3-30 07:44:06 | 只看該作者
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